Research Associate in Stochastic Finite-element Modelling

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Job Description

Does a highly interdisciplinary research role within a world top 100 university excite you? Are you keen to make a world-leading impact by advancing the state-of-the-art in computational modelling? Then this post-doctoral research opportunity at the INSIGNEO Institute for in silico Medicine could be for you.

This research associate position is funded by the UK EPSRC as part of the project titled “A stochastic finite element modelling framework to predict effect sizes on bone mechanics in preclinical studies” https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V050346/1 (PI: Dr Pinaki Bhattacharya).

The aim of this project is to develop efficient numerical methods to accurately predict the stochasticity in mouse bone mechanics. You will develop a thorough understanding of the state-of-the-art of research in this area, implement the numerical techniques and report your progress to the research group. You will develop collaborations arising from your own research and position yourself as an expert in computational analysis of bone mechanics.

You will possess an excellent PhD in mechanical engineering or a related discipline, and a solid knowledge of probability and statistics. Experience in software development for e.g., using C/C++, Python, Fortran, etc. is essential for this role. You should have contributed to numerical solver development (for e.g., finite-element, finite-volume, etc.) or have used commercial solvers with a very high level of sophistication (for e.g., use of user-subroutines, co-simulation etc.). Understanding of bone biomechanics and high-performance computing (HPC) experience are desirable attributes. You will be self-motivated and goal-driven, possess excellent research communication and team-working skills. You will be enthusiastic to mentor junior colleagues and PhD students and to supervise MEng/MSc dissertation research.

You will be appointed as a research staff member of the Department of Mechanical Engineering and an associate member of the INSIGNEO Institute for in silico Medicine at the University of Sheffield (UoS). In 2019, UoS had the 2nd highest research income in engineering among all UK universities. Since 2012, UoS and the Sheffield Teaching Hospitals NHS Foundation Trust have collaborated as the INSIGNEO Institute for in silico Medicine. INSIGNEO’s membership includes over 150 active researchers from departments within UoS and clinical directorates within the NHS Trust. INSIGNEO has a portfolio of £67M of projects specifically associated with in silico medicine. You will be able to access support for working on the UoS HPC clusters and to access world-class training from the ThinkAhead programme. The position includes funding for travel to international and national conferences and for publishing in open-access journals.